Our goal is to build pose-driven full-body avatars with dynamic clothing and
photorealistic appearance. Following [1]}, [2]}, we train our avatars on multi-view capture sequences of each subject wearing the clothing of interest. At test time, the avatars are animated by a sparse driving signal of skeleton motion (including facial keypoints if available), and rendered in a novel camera viewpoint.
